Senior Cybersecurity Analyst – Fraud

📋 Description

• Perform comprehensive analyses of identity fraud trends, including synthetic identity fraud, credential stuffing, account takeovers (ATO), and fraud enabled by deepfakes.

• Create AI-driven fraud detection models and consistently enhance current fraud prevention strategies.

• Recognize threats posed by adversarial AI, such as automated bot fraud, GenAI-enabled phishing attacks, and social engineering schemes.

• Investigate and apply machine learning models to identify deepfake-generated identities, voice fraud, and schemes aided by AI.

• Collaborate with security engineers and data scientists to devise countermeasures against deepfake-related fraud attempts.

• Conduct advanced penetration testing on identity verification and fraud prevention systems.

• Monitor and scrutinize dark web and underground fraud forums for new trends and tactics related to identity fraud.

• Partner closely with staff analysts, cybersecurity teams, and fraud risk managers to escalate fraud cases and execute risk mitigation strategies.

⛳️ Requirements

• 3-5 years of experience in fraud detection, cybersecurity, or AI-based fraud prevention.

• Robust understanding of identity verification processes, fraud analytics, and adversarial AI.

• Practical experience with fraud detection tools, machine learning applications, and automation frameworks.

• Proficiency in Python, SQL, or other scripting languages for fraud analysis and data examination.

• Familiarity with deepfake detection methods, AI risk mitigation strategies, and biometric security measures.

• Knowledge of fraudster TTPs (Tactics, Techniques, and Procedures) in digital identity fraud and organized retail crime.

• Experience with fraud modeling, anomaly detection, and AI-driven threat intelligence tools.

• Preferred certifications include CFE (Certified Fraud Examiner), CEH (Certified Ethical Hacker), or CISSP.

🏝️ Benefits

• Competitive salary

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development opportunities